Abstract
Major depressive disorder (MDD) and cardiovascular disease (CVD) are often comorbid, resulting in excess morbidity and mortality. Here we show that CVDs share most of their genetic risk factors with MDD. Multivariate genome-wide association analysis of shared genetic liability between MDD and atherosclerotic CVD revealed seven loci and distinct patterns of tissue and brain cell-type enrichments, suggesting the involvement of the thalamus. Part of the genetic overlap was explained by shared inflammatory, metabolic and psychosocial or lifestyle risk factors. Our data indicated causal effects of genetic liability to MDD on CVD risk, but not from most CVDs to MDD, and showed that the causal effects were partly explained by metabolic and psychosocial or lifestyle factors. The distinct signature of MDD–atherosclerotic CVD comorbidity suggests an immunometabolic subtype of MDD that is more strongly associated with CVD than overall MDD. In summary, we identified biological mechanisms underlying MDD–CVD comorbidity and modifiable risk factors for prevention of CVD in individuals with MDD.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Nature Cardiovascular Research |
Vol/bind | 3 |
Udgave nummer | 6 |
Sider (fra-til) | 754-769 |
Antal sider | 16 |
DOI | |
Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:This work was supported by European Union\u2019s Horizon 2020 Research and Innovation Programme (CoMorMent project; grant no. 847776). J.A.P. was supported by the US National Institutes of Mental Health (R01MH123724) and the Amsterdam University Medical Center Postdoc Career Bridging grant (27527). N.P. was supported by the Marie Sk\u0142odowska-Curie Actions Grant 801133 (Scientia fellowship) and RCN 300309. J.L.T. is supported by a European Research Council Starting grant (UNRAVEL-CAUSALITY, grant number 101076686) and a Senior Scientist Dekker Grant from the Dutch Heart Foundation (project number 03-004-2022-0055). Q.S. was supported by the Outstanding Clinical Discipline Project of Shanghai Pudong (no. PWYgy2021-02), the Talent training project of the three-year action plan (2023\u20132025) for strengthening the construction of the public health system in Shanghai (no. GWVI-11.2-YQ14), the Interdisciplinary Joint Research Project of Tongji University (2023-3-YB-05) and the Fundamental Research Funds for the Central Universities. C.M.L. is part-funded by the NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King\u2019s College London. A.M.M. is supported by the Wellcome Trust (220857/Z/20/Z) and UKRI (MR/W014386/1). A.D.B. was supported by grants from the Lundbeck Foundation (R102-A9118, R155-2014-1724 and R248-2017-2003) and NIH/NIMH (1R01MH124851-01). O.A.A. was supported by the European Union\u2019s Horizon 2020 research and innovation program (grant agreement nos. 847776 and 964874), Research Council of Norway (223273, 296030, 326813 and 324499). P.F.S. gratefully acknowledges support from the Swedish Research Council (Vetenskapsr\u00E5det, award D0886501), the US National Institutes of Mental Health (R01s MH124871, MH121545 and MH123724) and the Horizon 2020 Programme of the European Union (grant agreement no. 847776). Y.L. was supported by the European Research Council (grant agreement ID 101042183). We acknowledge HERMES and CARDIoGRAMplusC4D consortia for contributing data and guidance. The PRS analyses have been conducted using the UKB resource under application number 22224. They were enabled by resources in project sens2017519 provided by the National Academic Infrastructure for Supercomputing in Sweden at UPPMAX, funded by the Swedish Research Council through grant agreement no. 2022-06725. This work was performed on Services for Sensitive Data, University of Oslo, with resources provided by UNINETT Sigma2, the national infrastructure for high performance computing and data storage in Norway.
Publisher Copyright:
© The Author(s) 2024.